SciTransfer
Organization

ARTOMATIX LIMITED

Dublin AI SME building machine-learning tools for 3D content generation and on-device video quality enhancement, coordinator on two H2020 ICT projects.

Technology SMEdigitalIESMENo active H2020 projects
H2020 projects
2
As coordinator
2
Total EC funding
€2.6M
Unique partners
4
What they do

Their core work

Artomatix is a Dublin-based technology SME that builds AI-driven tools for generating and enhancing visual digital content. Their flagship work targets two adjacent pain points: helping 3D artists produce game, film and VR textures and materials automatically instead of by hand, and using machine learning to upscale video quality on the end-user device so streaming platforms can push less data over the network. In both cases they sell software that replaces slow, manual content production pipelines with AI-assisted automation. They operate as a product company, not a services shop — they ship tools that artists, studios and media platforms integrate into their own workflows.

Core expertise

What they specialise in

AI-assisted 3D content generationprimary
1 project

ArtomatixSuite (2016-2018) delivered an innovative 3D content generation solution for digital artists.

Machine learning for video enhancement and compressionprimary
1 project

ENHANCEplayer (2018-2021) used AI to improve video quality locally on the device, reducing internet traffic for video streaming.

Computer graphics and texture synthesissecondary
1 project

Implicit in ArtomatixSuite, which targeted digital artists producing 3D assets.

Deep learning for media applicationssecondary
2 projects

Both H2020 projects apply neural network techniques — to 3D assets in ArtomatixSuite and to video frames in ENHANCEplayer.

SME commercialization of research softwaresecondary
2 projects

Both projects were SME-instrument / Innovation Action funded (SME-2 and IA), focused on bringing AI tools to market.

Evolution & trajectory

How they've shifted over time

Early focus
AI-generated 3D textures
Recent focus
AI video enhancement

Artomatix moved from AI for static 3D assets (2016-2018, ArtomatixSuite) to AI for moving images (2018-2021, ENHANCEplayer) — the same deep-learning toolbox applied to a new medium. The shift also broadens their market from game and film studios toward video platforms and streaming infrastructure. The underlying through-line is consistent: use neural networks to reduce the cost and effort of producing or delivering high-quality visual content.

They are heading toward real-time, on-device AI for media — a direction useful for anyone building streaming, XR, or game engine tooling.

Collaboration profile

How they like to work

Role: consortium_leaderReach: European3 countries collaborated

Artomatix coordinated both of their H2020 projects and ran lean consortia — only four unique partners across three countries, pointing to small, product-focused teams rather than large research networks. This is typical of a commercially-driven SME using EU funding to de-risk product development rather than to pursue open-ended research. Partnering with them means working with a decision-maker, not a subcontractor, but expect commercial priorities to shape scope.

A tight network of four partners across three countries, built around Artomatix itself as the lead rather than a wider European consortium.

Why partner with them

What sets them apart

Few H2020-funded Irish SMEs built a credible AI product line across both 3D graphics and video in the same window — Artomatix did, and did it as coordinator on both grants. That combination (Dublin SME + ICT product focus + successful SME-Instrument graduation into an Innovation Action) makes them a rare example of EU funding being used as a genuine commercialization ladder. For a partner, the appeal is working with a company that ships, not one that writes deliverables.

Notable projects

Highlights from their portfolio

  • ArtomatixSuite
    Their largest grant (EUR 1.47M) and the SME-Instrument Phase 2 project that put their AI 3D content tools on the map.
  • ENHANCEplayer
    A pivot from 3D assets to AI video quality enhancement, funded as a full Innovation Action — evidence they graduated from SME-instrument into larger-scale deployment work.
Cross-sector capabilities
Media, entertainment and gamingVideo streaming and telecom efficiencyVirtual and augmented reality content pipelinesCreative industries tooling
Analysis note: Only 2 projects with short descriptions and no keyword data — expertise areas are inferred from project titles and objectives. Evolution analysis relies on the 2016→2018 project sequence rather than explicit keyword shifts.